摘要
供应链配送网络中含有许多灰色不确定信息,在考虑多原材料多产品的情况,建立了灰色需求下供应链配送网络灰色优化模型。由于该模型是NP-hard问题,采用灰色机会约束规划转化模型,并设计了基于定位系数优化的微粒群求解算法。通过实验算例说明了模型及其求解方法的有效性,并给出结果分析。
The supply chain distribution network contains various types of grey information.Based on the problem of supply chain distribution optimization under grey demand,distribution network optimization model which considers many raw materials and products is presented.Then solution algorithm based on optimization of the position coefficient and PSO is proposed for the model.The computer simulation shows that the model is feasible and the algorithm is effective.And the solution analysis is provided.
出处
《中国管理科学》
CSSCI
北大核心
2013年第S1期26-30,共5页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70871024)
福建省软科学研究科技项目(2013R0057)
关键词
供应链
配送网络
灰色优化模型
定位系数
微粒群算法
supply chain
distribution network
grey optimization model
position coefficient
particle swarm optimization
